Abstract:
In this project, we used two datasets from Kaggle, top 10000
comapnies and top 50 US tech companies, to conduct different analysis in
order to answer questions like how companies are rated, what concerns do
employees have, and how does company genre affect earnings etc. We
generated various visualizations and invite you go on a journey with us
here. Here you can find the links to the datasets.
Topic 1: numerical variables correlations
Graph 1: Headmap - Variables examined

Topic 2: relationship between company genres and total benefits
Graph 1: Relationship Between Broad Genre and Total Benefits

Graph 2: Average Total Benefits by Broad Genre

Topic 3: Companies by HQ locations

Here is a network visualization that shows how different elements of
companies are assocaited with each other during analysis.
Hi, Guys! Please feel free to explore this specific dataset:
Top 50 US Technology Companies
Choose any company that interests you!
Now, let the numbers do the talking!!!
This part we want to visualize the tital job available by industry
and companies worldwide.
Top 10 industries and their total job available worldwide
I created an interactive histogram of the top 10 industries by total
job available worldwide. We can see the total number of job available of
each industry and the top 3 companies with highest numbers of available
jobs in that industry.
2. Map: top 20 companies by total job available worldwide.
I generated the map of the top 20 companies by total jobs available
worldwide, according to the dataset. We can see that these companies are
clustered at Europe, India, and the east coast of the US.

Here is a word cloud of what companies are highly rated for. For
example, job security takes an important role.
We have chosen the top 30 companies, with highest ratings, among the
top 10000 companies for this analysis. We explore the relationship
between number of interviews and average salary through this interactive
plots.